fleurs-sw ke.train.896ec755ab5940f587a34a4de26c3ed35b6bf266e147d23a2fa2130d3a034103
fleurs-sw ke.train.896ec755ab5940f587a34a4de26c3ed35b6bf266e147d23a2fa2130d3a034103: train task in FineEnvs/fleurs-asr-env, an RL environment on the Hugging Face Hub. Transcribe this Swahili speech exactly as spoken, in Swahili, preserving capitalization, punctuation, and numerals. Return only the…
The task
Transcribe this Swahili speech exactly as spoken, in Swahili, preserving capitalization, punctuation, and numerals. Return only the transcription.
Task details
- language
- sw_ke
- language name
- Swahili
- family
- verbatim_transcription
- mime
- audio/wav
- duration seconds
- 26.76
- sampling rate
- 16000
- media ready
- False